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Iris 12B v1.3.2 GGUF

basemodel: Lambent/Iris-12B-v1.3.2 language: en libraryname: transformers license: apache-2.0 mradermacher: readmerev: 1 quantizedby: mradermacher

Quellehuggingface.co/mradermacher/Iris-12B-v1.3.2-GGUF/tree/218f482a275652f68e08fd8ae4c3caf9a58cef6d
ArtOtherBasismodellLambent/Iris-12B-v1.3.2VersionVerleger@mradermacherCBewertung

Modellquelle

Art
Other
Dateigröße
6,23 GB
Basismodell
Lambent/Iris-12B-v1.3.2
Version
vIris-12B-v1.3.2.IQ4_XS
Aktualisiert
8. Okt. 2026
Verleger
@mradermacher
Parameter
12B
Quelle
Hugging Face

Quellenbeschreibung

About

static quants of https://huggingface.co/Lambent/Iris-12B-v1.3.2

For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Iris-12B-v1.3.2-i1-GGUF

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

LinkTypeSize/GBNotes
GGUFmmproj-f160.2multi-modal supplement
GGUFmmproj-Q8_00.3multi-modal supplement
GGUFQ2_K4.9
GGUFQ3_K_S5.6
GGUFQ3_K_M6.2lower quality
GGUFQ3_K_L6.7
GGUFIQ4_XS6.8
GGUFQ4_K_S7.1fast, recommended
GGUFQ4_K_M7.5fast, recommended
GGUFQ5_K_S8.4
GGUFQ5_K_M8.6
GGUFQ6_K9.9very good quality
GGUFQ8_012.8fast, best quality

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

image.png

And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.

Quellen

1 Quelle
Hugging FacePrimärVersion 218f482a275652f68e08fd8ae4c3caf9a58cef6d
huggingface.co/mradermacher/Iris-12B-v1.3.2-GGUF/tree/218f482a275652f68e08fd8ae4c3caf9a58cef6d

Verifiziert 8. Sept.

Modellartefakte

1 Artefakt

Iris-12B-v1.3.2.IQ4_XS.gguf

gguf · 6,23 GB · SHA-256 8c1cda0d9d7e…c265 · Hugging Face

Herunterladen

Quellenauszüge

3 Auszüge
Readme11. Julihuggingface.co/mradermacher/Iris-12B-v1.3.2-GGUF

--- base_model: Lambent/Iris-12B-v1.3.2 language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> <!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: --> static quants of https://huggingface.co/Lambent/Iris-12B-v1.3.2 <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Iris-12B-v1.3.2-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Iris-12B-v1.3.2-i1-GGUF ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for more details, including on how to concatenate multi-part files. ## Provided Quants (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) | Link | Type | Size/GB | Notes | |:-----|:-----|--------:|:------| | [GGUF](https://huggingface.co/mradermacher/Iris-12B-v1.3.2-GGUF/resolve/main/Iris-12B-v1.3.2.mmproj-f16.gguf) | mmproj-f16 | 0.2 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/Iris-12B-v1.3.2-GGUF/resolve/main/Iris-12B-v1.3.2.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.3 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/Iris-12B-v1.3.2-GGUF/resolve/main/Iris-12B-v1.3.2.Q2_K.gguf) | Q2_K | 4.9 | | | [GGUF](https://huggingface.co/mradermacher/Iris-12B-v1.3.2-GGUF/resolve/main/Iris-12B-v1.3.2.Q3_K_S.gguf) | Q3_K_S | 5.6 | | | [GGUF](https://huggingface.co/mradermacher/Iris-12B-v1.3.2-GGUF/resolve/main/Iris-12B-v1.3.2.Q3_K_M.gguf) | Q3_K_M | 6.2 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Iris-12B-v1.3.2-GGUF/resolve/main/Iris-12B-v1.3.2.Q3_K_L.gguf) | Q3_K_L | 6.7 | | | [GGUF](https://huggingface.co/mradermacher/Iris-12B-v1.3.2-GGUF/resolve/main/Iris-12B-v1.3.2.IQ4_XS.gguf) | IQ4_XS | 6.8 | | | [GGUF](https://huggingface.co/mradermacher/Iris-12B-v1.3.2-GGUF/resolve/main/Iris-12B-v1.3.2.Q4_K_S.gguf) | Q4_K_S | 7.1 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Iris-12B-v1.3.2-GGUF/resolve/mai...

Note8. Sept.huggingface.co/mradermacher/Iris-12B-v1.3.2-GGUF

Source context: 206 downloads · 3 likes · Library transformers · Repo mradermacher/Iris-12B-v1.3.2-GGUF

Note18. Julihuggingface.co/mradermacher/Iris-12B-v1.3.2-GGUF

Source context: 1307 downloads · 2 likes · Library transformers · Repo mradermacher/Iris-12B-v1.3.2-GGUF